File size: 2,444 Bytes
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dataset_info:
features:
- name: Model_name
dtype: string
- name: Train_size
dtype: int64
- name: Test_size
dtype: int64
- name: arg
struct:
- name: adafactor
dtype: bool
- name: adam_beta1
dtype: float64
- name: adam_beta2
dtype: float64
- name: adam_epsilon
dtype: float64
- name: bf16
dtype: bool
- name: fp16
dtype: bool
- name: fp16_opt_level
dtype: string
- name: gradient_accumulation_steps
dtype: int64
- name: half_precision_backend
dtype: string
- name: label_smoothing_factor
dtype: float64
- name: learning_rate
dtype: float64
- name: lr_scheduler_type
dtype: string
- name: max_grad_norm
dtype: float64
- name: max_steps
dtype: int64
- name: n_gpu
dtype: int64
- name: num_train_epochs
dtype: int64
- name: optim
dtype: string
- name: optim_args
dtype: string
- name: per_device_eval_batch_size
dtype: int64
- name: per_device_train_batch_size
dtype: int64
- name: warmup_ratio
dtype: float64
- name: warmup_steps
dtype: int64
- name: weight_decay
dtype: float64
- name: lora
list: string
- name: Parameters
dtype: int64
- name: Trainable_parameters
dtype: int64
- name: r
dtype: int64
- name: Memory Allocation
dtype: float64
- name: Training Time
dtype: string
- name: accuracy
dtype: float64
- name: f1_macro
dtype: float64
- name: f1_weighted
dtype: float64
- name: precision
dtype: float64
- name: recall
dtype: float64
splits:
- name: Normal
num_bytes: 5932
num_examples: 17
- name: FocalLoss
num_bytes: 3867
num_examples: 11
- name: ClassBalanced
num_bytes: 5583
num_examples: 16
- name: Resample
num_bytes: 4925
num_examples: 14
- name: CostSensitive
num_bytes: 5570
num_examples: 16
- name: SmoothLabels
num_bytes: 5602
num_examples: 16
download_size: 104590
dataset_size: 31479
configs:
- config_name: default
data_files:
- split: Normal
path: data/Normal-*
- split: FocalLoss
path: data/FocalLoss-*
- split: ClassBalanced
path: data/ClassBalanced-*
- split: Resample
path: data/Resample-*
- split: CostSensitive
path: data/CostSensitive-*
- split: SmoothLabels
path: data/SmoothLabels-*
---
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